sprig VS helm

Standard Go templating seems really lacking if you come from something like Jinja. Even with libraries like https://masterminds.github.io/sprig/ (used e.g. for Helm templating) it feels hard to use.

Eleven, you'd be surprised what go template libs are out there like sprig. https://masterminds.github.io/sprig/

If you use Go templates be sure to use Sprig as well to get more usable functions.

I'd highly recommend tossing in the sprig library and depending on how you break up your templates, maybe creating a custom "include" helper instead of using the built in define/template helpers. The advantage of this is that if each template is capable of rendering itself independently, you can potentially render all of your templates in parallel.

The discoverability of golang templates is terrible, IMHO, since it's missing a "dir(locals())" equivalent and every execution environment gets to make its own rules about what pipelines/functions are exposed

Look at helm as an example: https://helm.sh/docs/chart_template_guide/function_list/ is some of them, https://helm.sh/docs/chart_template_guide/accessing_files/#p... are some others, but they also glued in some version of https://masterminds.github.io/sprig/ So, short of (a) knowing that's the case (b) having 3+ bookmarks in your favorite browser to refer to those reference pages, how would anyone know what pipelines are available?

Separately, I dooooo nooooooot understand why every joker has to invent their own new thing when we have like 50 or so templating languages already. Golang may be an outlier in that competition due to the Google Promotion Packet Effect(tm) but how they came up with `{{ range }}{{ end }}` as sane syntax is some true facepalm, to say nothing of the same landmine that ansible stepped on by not switching jinja2's default characters: `{{` is not _yaml safe_

You mentioned something about PHP. We also already have a templating language in the standard library that can be extended (commonly done with sprig).

Plopjs looks interesting and is probably not too hard to write for yourself in Go. You could add something like sprig for some useful template functions.

Not at all. It was "write a helm template using the following imaginary values in a values file". In 30 minutes, I was able to google the Kubernetes api and the sprig functions for templating, complete the assignment, fix a stupid typo the unit test caught, and spend 5 minutes trying to think of any corner cases that hidden unit tests might catch (I don't know if there were any hidden unit tests). The goal of this take-home assessment was to prove that you are not wasting an engineer's time when they call you, not to prove that you should be hired.

Support sprig in Template

They may refer to the definitive shortage of built-in functions. The template engine itself only provides the bare minimum. That's usually not a problem because of template function libraries like https://github.com/Masterminds/sprig

Applying Kubernetes manifests individually is problematic because files can get overlooked. Packaging your applications as Helm charts lets you version your manifests and easily repeat deployments into different environments. Helm tracks the state of each deployment as a "release" in your cluster.

helm

Explanation here: https://github.com/helm/helm/issues/12681#issuecomment-19593...

Looks like it's a bug in Helm, but actually isn't Helm's fault, the issue was introduced by Fedora Linux.

Helm (Get from here https://helm.sh/)

It’s also well understood that having a k8s cluster is not enough to make developers able to host their services - you need a devops team to work with them, using tools like delivery pipelines, Helm, kustomize, infra as code, service mesh, ingress, secrets management, key management - the list goes on! Developer Portals like Backstage, Port and Cortex have started to emerge to help manage some of this complexity.

Kubernetes orchestrates deployments and manages resources through yaml configuration files. While Kubernetes supports a wide array of resources and configurations, our aim in this tutorial is to maintain simplicity. For the sake of clarity and ease of understanding, we will use yaml configurations with hardcoded values. This method simplifies the learning process but isn’t ideal for production environments due to the need for manual updates with each new deployment. Although there are methods to streamline and automate this process, such as using Helm charts or bash scripts, we’ll not delve into those techniques to keep the tutorial manageable and avoid fatigue — you might be quite tired by that point!

Helm is a package manager that automates Kubernetes applications' creation, packaging, configuration, and deployment by combining your configuration files into a single reusable package. This eliminates the requirement to create the mentioned Kubernetes resources by ourselves since they have been implemented within the Helm chart. All we need to do is configure it as needed to match our requirements. From the public Helm chart repository, we can get the charts for common software packages like Consul, Jenkins SonarQube, etc. We can also create our own Helm charts for our custom applications so that we don’t need to repeat ourselves and simplify deployments.

We can search for charts https://helm.sh/ . Charts can be pulled(downloaded) and optionally unpacked(untar).

Generally I felt as if I was diving in the deepest of waters without the correct equipement and that was horrifying. Unfortunately to me, I had to dive even deeper before getting equiped with tools like ArgoCD, and k8slens. I had to start working with... HELM.

Within the architecture of Cyclops, a central component is the Helm engine. Helm is very popular within the Kubernetes community; chances are you have already run into it. The popularity of Helm plays to Cyclops's strength because of its straightforward integration.